multimedia Telecommunications
2016-08-23
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For each of the following images: einstein.jpg, mandrill.tif, Flowers.003.tif
1. Convert the images to grayscale and save them;
2. Perform the Discrete Wavelet transform with the parameters listed in the Table:
Number of levels J=4
Filters haar, biorthogonal 2.2, biorthogonal 2.4, Daubechies' 4 (db4)
3. Choose one wavelet and set J = 3. Perform the following operations on the subband
coefficients:
(a) Successively set to zero the di erent subband coe cients ( rst subband by
subband and then level by level);
(b) Keep the absolute value of the coe cients (change each negative sign to positive);
(c) Keep the signs of the coe cients while setting the absolute value of each coefcient equal to radq(2)^j
, where j represents the level;
(d) Quantize the coe cients by rounding to the nearest integer;
Then, for each case, perform the inverse transform to reconstruct the image. Save
the corresponding image and comment the
1. Convert the images to grayscale and save them;
2. Perform the Discrete Wavelet transform with the parameters listed in the Table:
Number of levels J=4
Filters haar, biorthogonal 2.2, biorthogonal 2.4, Daubechies' 4 (db4)
3. Choose one wavelet and set J = 3. Perform the following operations on the subband
coefficients:
(a) Successively set to zero the di erent subband coe cients ( rst subband by
subband and then level by level);
(b) Keep the absolute value of the coe cients (change each negative sign to positive);
(c) Keep the signs of the coe cients while setting the absolute value of each coefcient equal to radq(2)^j
, where j represents the level;
(d) Quantize the coe cients by rounding to the nearest integer;
Then, for each case, perform the inverse transform to reconstruct the image. Save
the corresponding image and comment the
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